Google Cloud Professional Machine Learning Engineer — Question 7

Your team trained and tested a DNN regression model with good results. Six months after deployment, the model is performing poorly due to a change in the distribution of the input data. How should you address the input differences in production?

Answer options

• A. Create alerts to monitor for skew, and retrain the model.
• B. Perform feature selection on the model, and retrain the model with fewer features.
• C. Retrain the model, and select an L2 regularization parameter with a hyperparameter tuning service.
• D. Perform feature selection on the model, and retrain the model on a monthly basis with fewer features.

Correct answer: A

Explanation

The correct answer is A because setting up alerts allows for continuous monitoring of data distribution changes, enabling timely retraining of the model as needed. Options B and D suggest performing feature selection, which may not address the underlying issue of input data distribution changes. Option C focuses on hyperparameter tuning but does not tackle the immediate need to monitor and adapt to data skew.